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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

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Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. So how can teams start implementing SLOs?

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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 279
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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

Details pertaining to HDR-VMAF exceed the scope of this article and will be covered in a future blog post; for now, suffice it to say that the first version of HDR-VMAF landed internally in 2021 and we have been improving the metric ever since. 1) depicts the migration of traffic from fixed bitrates to DO encodes.

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2022 in review: New dashboards, Core Web Vitals enhancements, third-party tracking & more!

Speed Curve

You can see at a glance: Key metrics like Core Web Vitals and your User Happiness score. Here you can still find time series charts that show how performance is trending over time across a number of key metrics, including Core Web Vitals. Evaluate CDN performance by exploring the impact of time-of-day traffic patterns.

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The Performance Golden Rule Revisited

Tim Kadlec

I broke the percentages down by page rank (based on traffic to the site). As we increasingly focus our conversations of performance on how metrics that relate to the user experience, the divide between backend and frontend goes past murky and starts becoming problematic. First up, the mobile results. 1,001 - 10,000 12.5%

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10 things I love about SpeedCurve (that I think you'll love, too)

Speed Curve

The best way to fight regressions is to create performance budgets on key metrics, and get alerted when they go out of bounds. These charts let even the most non-technical stakeholder easily see the correlation between performance and user engagement and business metrics, such as bounce rate and conversion rate.